In this study, three different MR pulse sequences, IR-FSE, MP2RAGE, and firstly proposed MP3RAGE, were applied to obtain high-resolution 3D T1 mapping of whole brain at 1.5 Tesla. Among these three sequences, MP2RAGE uses fast gradient echo as readout module. Signals of two different inversion times are acquired at once and can be used to calculate T1 relaxation time according to Bloch equation. However, the magnetization was also influenced by the excitation efficiency of inversion adiabatic pulse, which was usually estimated by numerical simulation and taken as a constant over the field of view in the literature. However, this might not be true in practice. Therefore, a newly modified pulse sequence, MP3RAGE, was proposed to acquire data of three distinct inversion times without increasing scanning time. As a result, the spatial distribution of T1 and inversion efficiency can be assessed by solving nonlinear least square problem. In addition, the IR-FSE sequence with six inversion times was also applied in every experiment to provide T1 value for reference. Results showed that the T1 estimation obtained by MP2RAGE is close to, but slightly lower than that by IR-FSE, which is in agreement with those reported in literatures. In addition, the 3D high-resolution maps of T1 and efficiency were successfully estimated with the use of MP3RAGE. Spatial smoothing on inversion efficiency helps reducing the sensitivity to noise in the nonlinear approach, leading to T1 values closer to those by IR-FSE.

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The signal resulting from the IR-FSE sequence has been thoroughly analyzed in order to improve the accuracy of quantitative T1 mapping of the human brain. Several optimized post-processing algorithms have been studied and compared in terms of their T1 mapping accuracy. The modified multipoint two-parameter fitting method was found to produce less underestimation compared to the traditional multipoint three-parameter fitting method, and therefore, to result in a smaller T1 estimation error. Two correction methods were proposed to reduce the underestimation problem which is commonly seen in IR-FSE sequences used for measuring T1, especially when a large turbo factor is used. The intra-scan linear regression method corrects the systematic error effectively but the RMSE may still increase due to the increase of uncertainty in sequences with large turbo factors. The weighted fitting model corrects not only the systematic error but also the random error and therefore the aggregate RMSE for T1 mapping can be effectively reduced. A new fitting model that uses only three different TI measurements for T1 estimation was proposed. The performance for the three-point fitting method is as good as that of the multipoint fitting method with correction in the phantom simulation. In addition, a new ordering scheme that implements the three-point fitting method is proposed; it is theoretically able to reduce the total scan time by 1/3 compared to the TESO-IRFSE sequence. The performance of the three-point fitting method on the real human brain is also evaluated, and the T1 mapping results are consistent to with the conventional IR-FSE sequence. More samples of true anatomy are needed to thoroughly evaluate the performance of the proposed techniques when applied to T1 mapping of the human brain.

Diese Doktorarbeit befasst sich mit der methodischen Entwicklung von Akquisition- und Rekonstruktionstechniken zur Anwendung von Echtzeit-Bildgebungstechniken auf das Gebiet der dynamischen kontrastmittelgestützten Magentresonanztomographie. Zur Unterdrückung unerwünschter Bildartefakte wird eine neue Spoiling-Technik vorgeschlagen, die auf randomisierten Phasen der Hochfrequenzanregung basiert. Diese Technik erlaubt eine schnelle, artefaktfreie Aufnahme von T1-gewichteten Rohdaten bei radialer Abtastung. Die Rekonstruktion quantitativer Parameterkarten aus solchen Rohdaten kann als nichtlineares, inverses Problem aufgefasst werden. In dieser Arbeit wird eine modellbasierte Rekonstruktionstechnik zur quantitativen T1-Kartierung entwickelt, die dieses inverse Problem mittels der iterativ regularisierten Gauß-Newton-Methode mit parameterspezifischer Regularisierung löst. In Simulationen sowie in-vitro- und in-vivo-Studien wird Genauigkeit und Präzision dieser neuen Methode geprüft, die ihre direkte Anwendung in in-vitro-Experimenten zur "first-pass"-Perfusion findet. In diesen Experimenten wird ein kommerziell verfügbares Phantom verwendet, dass in-vivo-Perfusion simuliert und gleichzeitig vollständige Kontrolle über die vorherrschenden Austauschraten erlaubt.

Manganese has been used as a T₁-weighted MRI contrast agent in a variety of applications. Because manganese ions (Mn²) enter viable myocardial cells via voltage gated calcium channels, manganese-enhanced MRI (MEMRI) is sensitive to the viability and the inotropic state of the heart. In spite of the established importance of calcium regulation in the heart both prior to, and following, myocardial injury, monitoring strategies to assess calcium homeostasis in affected cardiac tissues are limited. This study implements a T₁-mapping method to obtain quantitative information both dynamically and over a range of MnCl₂ infusion doses. In order to optimize the current manganese infusion protocols, both dose dependent and temporal washout studies were performed. A non-linear relationship between infused MnCl₂ solution dose and increase in left ventricular free wall relaxation rate (∆R₁) was observed. Control mice also exhibited significant manganese clearance over time, with approximately 50% decrease of ∆R₁ occurring in just 2.5 hours. The complicated efflux time dependence possibly suggests multiple efflux mechanisms. Using the measured relationship between infused MnCl₂ and ∆R₁, absolute Mn concentration ICP-MS data analysis provided a means to estimate the absolute heart Mn concentration in vivo. We have shown that this technique has the sensitivity to observe or monitor potential Ca²+ handling alterations in vivo due to the physiological remodeling following myocardial infarction. Left ventricular free wall ∆R₁ values were significantly lower (P = 0.005) in the adjacent zone, surrounding the injured myocardial tissue, than healthy left ventricular free wall tissue. This inferred reduction in Mn concentration can be used to estimate potentially salvageable myocardium in vivo for future therapeutic treatment or evaluation of disease progression.

Chronic obstructive pulmonary disease is the fourth largest cause of death worldwide and the prevalence is predicted to increase even further to make it the third largest cause of death by 2020. The main cause of the disease is exposure to tobacco smoke. COPD is a complex disease and there is a strong need of better understanding of the pathogenetic mechanisms in order to come up with novel therapeutic interventions and preventive strategies. The golden standard to image the lungs today is to use computed tomography (CT) which is an imaging modality that involves ionizing radiation and could thus harm the patient, especially with repeated exposure. New techniques in the image acquisition of magnetic resonance imaging (MRI), an imaging modality that does not involve ionizing radiation, has emerged that allows for lung imaging. The work included segmentation of the lungs, image registration and partitioning of the lungs inorder to perform regional analysis. The results indicate that the mean value of the T1-parameter in the left and right lung is not affected to the same degree, where the left lung showed a greater decrease. The results also showed that the anterior parts of the lungs are not showing any statistically significant changes but the changes were instead seen in the center and posterior parts. Both lungs also showed results that indicate that the mean T1-value is recovered at the end of the longitudinal study, a phenomenon that couldn’t be explained and further studies have to be performed.

Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e.g., visualization of the internal structure of the human body. The less well-known spectroscopic technique of nuclear quadrupole resonance (NQR) is related to NMR and MRI but with the difference that no external magnetic field is needed. NQR has found applications in, e.g., detection of explosives and narcotics. The first part of this thesis is focused on detection and identification of solid and liquid explosives using both NQR and NMR data. Methods allowing for uncertainties in the assumed signal amplitudes are proposed, as well as methods for estimation of model parameters that allow for non-uniform sampling of the data. The second part treats two medical applications. Firstly, new, fast methods for parameter estimation in MRI data are presented. MRI can be used for, e.g., the diagnosis of anomalies in the skin or in the brain. The presented methods allow for a significant decrease in computational complexity without loss in performance. Secondly, the estimation of blood flow velo-city using medical ultrasound scanners is addressed. Information about anomalies in the blood flow dynamics is an important tool for the diagnosis of, for example, stenosis and atherosclerosis. The presented methods make no assumption on the sampling schemes, allowing for duplex mode transmissions where B-mode images are interleaved with the Doppler emissions.

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